Xiaoming Wei

Computer Vision and Pattern Recognition · 2021–2022

A researcher in the Science corpus: 2 papers; trusts 65 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Xiaoming Wei trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Kaiming He

Papers from Xiaoming Wei's perspective

Ordered by how strongly the researchers Xiaoming Wei trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. ImageNet: A large-scale hierarchical image database
  3. Going deeper with convolutions
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  6. Microsoft COCO: Common Objects in Context
  7. Gradient-based learning applied to document recognition
  8. Fully convolutional networks for semantic segmentation
  9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers